Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …

Nowadays, computer vision plays an essential role in disease detection, computer-aided
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …

We present an end-to-end framework for real-time melanoma detection on mole images
acquired with mobile devices equipped with off-the-shelf magnifying lens. We trained our …

Melanoma is a fatal skin cancer that can be treated efficiently with early detection. There is a
pressing need for dependable computer-aided diagnosis (CAD) systems to address this …

Cancer is a widespread global health problem, claiming millions of lives each year, and skin
cancer represents a significant threat as it is one of the most common types. Early tumor …

Traditional machine learning methods like GLCM and ABCD rules have long been
employed for image classification tasks. However, they come with inherent limitations …

The number of fatalities resulting from skin cancer has significantly increased over the past
few years. Early diagnosis is highly important for the quick treatment of skin cancer …

Advances in the field of Neural Networks, especially Graph Neural Networks (GNNs) has
helped in many fields, mainly in the areas of Chemistry and Biology where recognizing and …

Nowadays, computer vision plays an essential role in disease detection, computer-aided
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …

The prevalence of skin cancer has increased in several nations worldwide. Due to the
disease's constant rise in the UK, patients and medical professionals now face greater …